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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Unsupervised Segmentation Incorporating Shape Prior via Generative Adversarial Networks ICCV 2021 Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data NAACL 2021 Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals ICCV 2021 Unsupervised Sentence-embeddings by Manifold Approximation and Projection EACL 2021 Unsupervised Skill Discovery with Bottleneck Option Learning ICML 2021 Unsupervised Speech Recognition NeurIPS 2021 Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders AAAI 2021 Unsupervised Training of a DNN-Based Formant Tracker Interspeech 2021 Unsupervised Translation of German–Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language EMNLP 2021 Unsupervised Video Representation Learning by Bidirectional Feature Prediction WACV 2021 Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions NAACL 2021 Unsupervised Visual Attention and Invariance for Reinforcement Learning CVPR 2021 Unsupervised Visual Representation Learning by Tracking Patches in Video CVPR 2021 Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings EACL 2021 Untangling the Small Intestine in 3D cine-MRI using Deep Stochastic Tracking MIDL 2021 Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization CVPR 2021 UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth SemEval 2021 UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection SemEval 2021 UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense SemEval 2021 UP-DETR: Unsupervised Pre-Training for Object Detection With Transformers CVPR 2021 UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning CVPR 2021 Uplift Modeling with High Class Imbalance ACML 2021 User Driven Model Adjustment via Boolean Rule Explanations AAAI 2021 User Retention: A Causal Approach with Triple Task Modeling IJCAI 2021 Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models ACL 2021